Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. - Mark S. Alber; Adrian Buganza Tepole; William R. Cannon; Suvranu De; Salvador Dura-Bernal; Krishna C. Garikipati; George E. Karniadakis; William W. Lytton; Paris Perdikaris; Linda R. Petzold; Ellen Kuhl (npj Digit. Medicine, 2019)

Improving Reconstructive Surgery Design using Gaussian Process Surrogates to Capture Material Behavior Uncertainty. - Casey Stowers; Taeksang Lee; Ilias Bilionis; Arun Gosain; Adrian Buganza Tepole (CoRR, 2020)

Predicting the Mechanical Properties of Fibrin Using Neural Networks Trained on Discrete Fiber Network Data. - Yue Leng; Sarah Calve; Adrian Buganza Tepole (CoRR, 2021)

Automatically Polyconvex Strain Energy Functions using Neural Ordinary Differential Equations. - Vahidullah Tac; Francisco Sahli Costabal; Adrian Buganza Tepole (CoRR, 2021)

Elasticity Solver in Minecraft for Learning Mechanics of Materials by Gaming. - Zachariah P. Beck; Brandon Alpert; Alexander J. Bowman; William R. Watson; Adrian Buganza Tepole (CoRR, 2022)

PDE-constrained shape registration to characterize biological growth and morphogenesis from imaging data. - Aishwarya Pawar; Linlin Li; Arun Gosain; David M. Umulis; Adrian Buganza Tepole (Eng. Comput., 2022)

Data-driven modeling of the mechanical behavior of anisotropic soft biological tissue. - Vahidullah Tac; Vivek D. Sree; Manuel K. Rausch; Adrian Buganza Tepole (Eng. Comput., 2022)

Special Issue: Imaging-based methods in computational medicine. - Adrian Buganza Tepole; Johannes Weickenmeier; Maria A. Holland; Rafael Grytz (Eng. Comput., 2022)

Benchmarks for physics-informed data-driven hyperelasticity. - Vahidullah Tac; Kevin Linka; Francisco Sahli Costabal; Ellen Kuhl; Adrian Buganza Tepole (CoRR, 2023)

Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. - Vahidullah Tac; Manuel K. Rausch; Francisco Sahli Costabal; Adrian Buganza Tepole (CoRR, 2023)

Mechano-biological and bio-mechanical pathways in cutaneous wound healing. - Marco Pensalfini; Adrian Buganza Tepole (PLoS Comput. Biol., 2023)

Computational mechanobiology model evaluating healing of postoperative cavities following breast-conserving surgery. - Zachary Harbin; David Sohutskay; Emma Vanderlaan; Muira Fontaine; Carly A. Mendenhall; Carla Fisher; Sherry Voytik-Harbin; Adrian Buganza Tepole (Comput. Biol. Medicine, 2023)

Physics-Informed Neural Network for Scalable Soft Multi-Actuator Systems. - Carly A. Mendenhall; Jonathan Hardan; Trysta D. Chiang; Laura H. Blumenschein; Adrian Buganza Tepole (RoboSoft, 2024)

Generative hyperelasticity with physics-informed probabilistic diffusion fields. - Vahidullah Tac; Manuel K. Rausch; Ilias Bilionis; Francisco Sahli Costabal; Adrian Buganza Tepole (Eng. Comput., 2025)

Polyconvex Physics-Augmented Neural Network Constitutive Models in Principal Stretches. - Adrian Buganza Tepole; Asghar A. Jadoon; Manuel K. Rausch; Jan Niklas Fuhg (CoRR, 2025)

A universal material model subroutine for soft matter systems. - Mathias Peirlinck; Juan A. Hurtado; Manuel K. Rausch; Adrian Buganza Tepole; Ellen Kuhl (Eng. Comput., 2025)

Fully data-driven inverse hyperelasticity with hyper-network neural ODE fields. - Vahidullah Tac; Amirhossein Amiri-Hezaveh; Manuel K. Rausch; Grace N. Bechtel; Francisco Sahli Costabal; Adrian Buganza Tepole (CoRR, 2025)

Differentiable neural network representation of multi-well, locally-convex potentials. - Reese E. Jones; Adrian Buganza Tepole; Jan Niklas Fuhg (CoRR, 2025)